The Conference on Neural Information Processing Systems (NeurIPS), is one of the most prestigious international conferences in artificial intelligence and machine learning. It brings together researchers, engineers, and industry leaders to present cutting-edge work on topics such as deep learning, optimization, neuroscience, reinforcement learning, and theoretical foundations of AI. The event includes paper presentations, workshops, tutorials, and competitions, making it a major hub for new ideas and collaborations in the AI research community.
From now until the new year, our team will be curating a selection of papers that align with our community’s interests and discussing them in a special podcast series.
In today’s inaugural episode, we explore the paper “Measuring What Matters: Construct Validity in Large Language Model Benchmarks” authored by researchers from the University of Oxford, EPFL, the Weizenbaum Institute in Berlin, Stanford University, and other leading institutions.
Disclaimer: This is an experimental pod that leverages AI narration with the script written by humans. Of course, the narration occasionally goes off track due to technical nuances and LLM hallucinations. However, most of the time, it gets the technical content right.
New QF Academy Public Testimonial
We never pressure our e-learning members to share public testimonials. In fact, many of them, including top researchers from leading companies such as Meta, Google, and OpenAI, prefer to keep their feedback private. That said, it truly makes our day when learners choose to share their experiences voluntarily.
Meet Daniel Goldsmith, a Senior Quantum Technologist at the UK’s Digital Catapult and a PhD researcher in Quantum Machine Learning (QML). Daniel is an outstanding example of the kind of Quantum Formalism (QF) Academy member we love working with. He has a clear vision for his mathematical learning goals and, most importantly, approaches them with dedication, discipline, and genuine passion for mastering the material.
I have gained valuable insights from completing a Quantum Formalism course on Group Theory, Topology and Manifolds, since this will be useful knowledge for my PhD in #qml. I was impressed that my mentor at Quantum Formalism, Bambordé Baldé met me to make sure that my study plan would meet my objectives, and made valuable comments.
You can read Daniel’s full LinkedIn testimonial here. If Daniel’s journey resonates with you and you’re ready to embark on your own path in advanced mathematics, you can start your QF Academy journey today.
Wishing you a great start to the week ahead.
QF Academy team
